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Journal of Zhejiang University SCIENCE B

ISSN 1673-1581(Print), 1862-1783(Online), Monthly

Circular RNAs: typical biomarkers for bone-related diseases

Abstract: Bone is a connective tissue that has important functions in the human body. Cells and the extracellular matrix (ECM) are key components of bone and are closely related to bone-related diseases. However, the outcomes of conventional treatments for bone-related diseases are not promising, and hence it is necessary to elucidate the exact regulatory mechanisms of bone-related diseases and identify novel biomarkers for diagnosis and therapy. Circular RNAs (circRNAs) are single-stranded RNAs that form closed circular structures without a 5' cap or 3' tail and polycyclic adenylate tails. Due to their high stability, circRNAs have the potential to be typical biomarkers. Accumulating evidence suggests that circRNAs are involved in bone-related diseases, including osteoarthritis, osteoporosis, osteosarcoma, multiple myeloma, intervertebral disc degeneration, and rheumatoid arthritis. Herein, we summarize the recent research progress on the characteristics and functions of circRNAs, and highlight the regulatory mechanism of circRNAs in bone-related diseases.

Key words: Circular RNA; Bone-related disease; Competing endogenous RNA (ceRNA); MicroRNA

Chinese Summary  <61> 基于Lü系统的移动机器人完成特殊情况下全覆盖路径规划的参数值选择策略

李彩虹1,刘聪1,宋勇2,梁振英1
1山东理工大学计算机科学与技术学院,中国淄博市,255000
2山东大学(威海)机电与信息工程学院,中国威海市,264209
摘要:针对移动机器人完成特殊情况下的全覆盖路径规划(complete coverage path planning, CCPP)任务,基于Lü系统,提出一种构造混沌机器人的系统参数值综合选择策略,以满足特殊任务下遍历轨迹高随机性和高覆盖率的需求。首先利用混沌系统必为耗散系统的特点,大致确定Lü系统成为耗散系统的参数取值范围;然后计算耗散系统下的李雅普诺夫指数谱,缩小系统参数的取值范围;其次画出这些参数下的相平面,大致判断其轨迹的拓扑分布特性;进一步在好的参数取值里,计算每个参数下变量的皮尔逊相关系数,判断每个变量的随机特性。最后,在所确定参数值下,利用其中的变量构造混沌机器人,并仿真测试了覆盖率,研究覆盖率和变量随机特性之间的关系。上述综合选择策略根据覆盖轨迹混沌性和随机性的要求,逐渐缩小了系统参数的取值范围。与使用一组固定的经典参数值的Lü系统相比,经过综合方法选择参数值的系统,能挑选出李雅普诺夫指数大的变量来构造混沌机器人,从而使覆盖轨迹的随机性能更高。另一个混沌Lorenz系统,用来测试和验证所设计策略的可行性和有效性。此类研究能够提高机器人完成特殊情况下CCPP任务的效率。

关键词组:混沌移动机器人;Lü系统;全覆盖路径规划;参数值选择策略;李雅普诺夫指数;皮尔逊相关系数


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DOI:

10.1631/jzus.B2200211

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On-line Access:

2022-12-15

Received:

2022-04-11

Revision Accepted:

2022-08-11

Crosschecked:

2022-12-15

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